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Responses to Transit Information among Car-drivers: Regret-based Models and Simulations

机译:驾驶员对过境信息的响应:基于遗憾的模型和仿真

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This article investigates the use and effects of transit information among car drivers that consider transit as a mode-option in their choice set. It does so by first presenting a theoretical model of travel information use and effect, based on the integration of notions of Bayesian updating into a regret-based framework of travel choice. Subsequently, numerical simulation of the model provides insights into the mechanisms behind information use and effect in a mode-choice context where a traveler has both car- as well as transit-options in their choice set, and prefers traveling by car over riding by transit. These simulations show that the perceived value of acquiring transit information is limited by a number of factors. Furthermore they demonstrate that, even in the case where transit information is acquired, and the message is favorable to transit, its impact on mode choices will also be limited. Given these results for non-habitual car-drivers, it is suggested that for car-drivers in general (thus including the large share of habitual drivers), conservative estimates regarding the impact of transit information provision on modal shift would be realistic.
机译:本文研究了在将交通作为其选择集中的一种模式选择的汽车驾驶员中交通信息的使用和影响。为此,首先将贝叶斯更新概念整合到基于遗憾的旅行选择框架中,然后提出旅行信息使用和效果的理论模型。随后,模型的数值模拟提供了对模式选择上下文中信息使用和效果背后机制的见解,在该模式选择上下文中,旅行者在自己的选择集中既具有汽车选项,也具有交通选项,并且更喜欢乘汽车旅行而不是乘公交。这些模拟表明,获取公交信息的感知价值受到许多因素的限制。此外,他们证明,即使在获取运输信息且消息有利于运输的情况下,其对模式选择的影响也将受到限制。鉴于非惯性驾驶者的这些结果,建议对于一般的驾驶员(因此包括惯性驾驶者的大部分),关于过境信息提供对模式转换的影响的保守估计将是现实的。

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